Machine learning boosts Swiss startup’s shot at human-powered land speed record


The present world pace document for using a motorcycle down a straight, flat highway was set in 2012 by a Dutch group, however the Swiss have a plan to topple their rivals — with somewhat assist from machine studying. An algorithm skilled on aerodynamics might streamline their bike, maybe slicing air resistance by sufficient to set a brand new document.

At present the document is held by Sebastiaan Bowier, who in 2012 set a document of 133.78 km/h, or simply over 83 mph. It’s exhausting to think about how his bike, which regarded extra like a tiny landbound rocket than any sort of bicycle, could possibly be considerably improved on.

However each little bit counts when information are measured down a hundredth of a unit, and anyway, who is aware of however that some unusual new form may completely change the sport?

To pursue this, researchers at the École Polytechnique Fédérale de Lausanne’s Computer Vision Laboratory developed a machine studying algorithm that, skilled on 3D shapes and their aerodynamic qualities, “learns to develop an instinct in regards to the legal guidelines of physics,” because the college’s Pierre Baqué stated.

“The usual machine studying algorithms we use to work with in our lab take pictures as enter,” he defined in an EPFL video. “A picture is a really well-structured sign that may be very straightforward to deal with by a machine-learning algorithm. Nonetheless, for engineers working on this area, they use what we name a mesh. A mesh is a really giant graph with a whole lot of nodes that’s not very handy to deal with.”

Nonetheless, the group managed to design a convolutional neural community that may kind by numerous shapes and routinely decide which ought to (in principle) present the perfect aerodynamic profile.

“Our program ends in designs which can be typically 5-20 p.c extra aerodynamic than standard strategies,” Baqué stated. “However much more importantly, it may be utilized in sure conditions that standard strategies can’t. The shapes utilized in coaching this system might be very completely different from the usual shapes for a given object. That provides it a substantial amount of flexibility.”

That signifies that the algorithm isn’t simply restricted to slight variations on established designs, nevertheless it is also versatile sufficient to tackle different fluid dynamics issues like wing shapes, windmill blades or automobiles.

The tech has been spun out right into a separate firm, Neural Idea, of which Baqué is the CEO. It was offered at present on the Worldwide Convention on Machine Studying in Stockholm.

A group from the Annecy College Institute of Know-how will try to use the computer-honed mannequin in individual on the World Human Powered Pace Problem in Nevada this September — in spite of everything, irrespective of how a lot pc help there may be, because the identify says, it’s nonetheless powered by a human.



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I Spent 8 Years Learning Photoshop To Create Work Like This


I’ve been studying the best way to use Photoshop for the previous couple of years and listed below are a few of my favourite images I created within the course of.

Throughout my days in highschool I spent most of my free time studying Photoshop. I regarded up YouTube movies and tutorials to be taught all the pieces about this system. As time handed I obtained extra into it, and began perfecting my expertise to create concepts that have been distinctive and surreal. I hope to create work that may encourage folks and assist them obtain their desires.

Extra information: Instagram

Puzzle Items

Uplifting

Protector of Peace

Butterfly Queen

Now You See Me

The Flooring is Lava



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Lobe’s ridiculously simple machine learning platform aims to empower non-technical creators


Machine studying will be the software de jour for the whole lot from particle physics to recreating the human voice, however it’s not precisely the simplest subject to get into. Regardless of the complexities of video enhancing and sound design, we have now UIs that allow even a curious child dabble in them — why not with machine studying? That’s the aim of Lobe, a startup and platform that genuinely appears to have made AI fashions as easy to place collectively as LEGO bricks.

I talked with Mike Matas, one among Lobe’s co-founders and the designer behind many a preferred digital interface, in regards to the platform and his motivations for creating it.

“There’s been a variety of conditions the place individuals have sort of thought of AI and have these cool concepts, however they will’t execute them,” he mentioned. “So these concepts identical to shed, until you might have entry to an AI workforce.”

This occurred to him, too, he defined.

“I began researching as a result of I needed to see if I might use it myself. And there’s this difficult to interrupt by way of veneer of phrases and frameworks and arithmetic — however when you get by way of that the ideas are literally actually intuitive. Actually much more intuitive than common programming, since you’re instructing the machine such as you train an individual.”

However just like the exhausting shell of jargon, current instruments have been additionally tough on the perimeters — highly effective and purposeful, however far more like studying a improvement surroundings than enjoying round in Photoshop or Logic.

“You could know piece this stuff collectively, there are many issues you must obtain. I’m a type of individuals who if I’ve to do a variety of work, obtain a bunch of frameworks, I simply surrender,” he mentioned. “In order a UI designer I noticed the chance to take one thing that’s actually difficult and reframe it in a means that’s comprehensible.”

Lobe, which Matas created together with his co-founders Markus Beissinger and Adam Menges, takes the ideas of machine studying, issues like characteristic extraction and labeling, and places them in a easy, intuitive visible interface. As demonstrated in a video tour of the platform, you may make an app that acknowledges hand gestures and matches them to emoji with out ever seeing a line of code, not to mention writing one. All of the related data is there, and you may drill right down to the nitty gritty in order for you, however you don’t need to. The benefit and velocity with which new functions may be designed and experimented with might open up the sphere to individuals who see the potential of the instruments however lack the technical know-how.

He in contrast the state of affairs to the early days of PCs, when pc scientists and engineers have been the one ones who knew function them. “They have been the one individuals in a position to make use of them, in order that they have been they solely individuals capable of provide you with concepts about how to make use of them,” he mentioned. However by the late ’80s, computer systems had been reworked into inventive instruments, largely due to enhancements to the UI.

Matas expects an identical flood of functions, even past the numerous we’ve already seen, because the barrier to entry drops.

“Folks exterior the info science neighborhood are going to consider apply this to their subject,” he mentioned, and in contrast to earlier than, they’ll have the ability to create a working mannequin themselves.

A raft of examples on the location present how a couple of easy modules can provide rise to every kind of attention-grabbing functions: studying lips, monitoring positions, understanding gestures, producing life like flower petals. Why not? You want knowledge to feed the system, in fact, however doing one thing novel with it’s now not the exhausting half.

And in line with the machine studying neighborhood’s dedication to openness and sharing, Lobe fashions aren’t some proprietary factor you’ll be able to solely function on the location or through the API. “Architecturally we’re constructed on high of open requirements like Tensorflow,” Matas mentioned. Do the coaching on Lobe, take a look at it and tweak it on Lobe, then compile it right down to no matter platform you need and take it to go.

Proper now the location is in closed beta. “We’ve been overwhelmed with responses, so clearly it’s resonating with individuals,” Matas mentioned. “We’re going to slowly let individuals in, it’s going to start out fairly small. I hope we’re not getting forward of ourselves.”



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Jordan Peele Uses Machine Learning Tools to Make a Fake Obama Warn Us About 'Fucked-Up Dystopia'



As our descent into national madness continues, some have been sounding warning bells a couple of potential “fake news apocalypse”—the concept that know-how is making it simpler than ever to generate disinformation and propaganda and rapidly disseminate it to legions of individuals on-line, with little checks on the method.…

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Learning Photoshop Opened Up A Whole New World Of Possibilities For My Photos


My title is John Wilhelm. I used to be born 1970 in Winterthur Switzerland the place I nonetheless stay along with my spouse and my 4 children (three women and 1 son).

Pictures was at all times necessary in my life. My father was an skilled hobby-photographer and based at the least two native photography-associations. So I grew up in an surroundings of cameras, magazines, lenses, selfmade camera-baggages, darkrooms and humorous weddings.

I wasn’t very excited again then about these movies and growth processes. It was such a fiddling in my eyes.

The significance of pictures turned into pleasure once I was holding my first digital cam in my palms. The hearth was sparked off and an extended journey begun, a journey by numerous digicam programs, methods, experiences and eventually software program merchandise. Feburary 2011, I made a decision to take a step throughout the border of plain pictures. I entered the world of photoshop and 3D-tools. That was the very best factor I each did… now pictures is an entire ardour!

Extra data: Facebook | johnwilhelm.ch

Rest room paper harvest

Bent Banana Inc

Black friday

Catch it like a canine

Youngsters haven’t any alternative

Dad and me

Dandelion self-defence

Dinner is served

Dreaming of the ocean

Feeding a smelly pelican

Eliminating that child fats

Blissful New 12 months

If pinocchio had glasses

Inflagranti

InflaTitties

Only a chameleon motion capturing with bait-lens

Only a curious customer

Only a knitting needle and a wall socket

Just a bit beaver

Just a bit enterprise woman

Just a bit gravity challenge

Just a bit homework

Just a bit overtaking

Just a bit Snowflake

Only a loop slide

Only a nightly encounter

Only a paparazzo seagull in bother

Only a seagull pulling my women

Simply an animal lover

Simply an unsuccessful backscratcher

Simply two women and a Vespa 1947

Kissing a faux frog king

Dwelling in a Plastic World

Mila Button and Lou-ke the Engine Driver

On-line and offlife

Working out of time

Foolish Clone Academy – Auditorium

Snow Angel – Springtime Version

So shut and but to this point

Spaghettitime

The hike by evening

Spring preparation

The nice climate umbrella

The hike

The unique child cradle

The Photoholic Building Package

The rose’s revenge

Wal(b)rus(hing)

Yuna Stark – Queen of Westeros



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Sex That Works: Learning to Feel


“To be able to transfer on, you will need to perceive why you felt what you probably did and why you not must really feel it.”  -Mitch Albom It was virtually a yr in the past that I obtained phrase that my guide, Intercourse that Works, was accepted for publication by Sounds True. Initially, I had supplied that the subtitle of the guide must be […]

The put up Sex That Works: Learning to Feel appeared first on Good Clean Love.



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I’m An Amateur Photographer Who Is Just Learning, And Here Are Some Of My Photos


My identify is Susan Hartman, I’m an newbie photographer who’s studying one thing new day by day.

I really like nature and all that surrounds me so I mix this ardour with pictures. Listed below are the outcomes!

Extra information: yourshot.nationalgeographic.com

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose

Nature strike’s a Pose



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